A novel Bézier micro-lens arrays for UVC LED panels to enhance public lift sterilization

• A Novel UVC-LED light guide panel with Bézier MLAs enhances disinfection. • The Bézier MLA layout was precisely fabricated on the light guide panel. • The UVC-LED system achieves 97.80 % E.coli sterilization in 60 s per test results. Public lifts are essential for vertical transportation in modern buildings but pose significant hygiene challenges due to frequent contact with buttons. This study introduces an innovative disinfection system that combines Ultraviolet-C (UVC)-light emitting diode (LED) technology with a uniquely designed micro-lens array (MLA) featuring a Bézier layout on the light guide panels to effectively sterilize public lift buttons. The system utilizes UVC radiation at 270 nm, with the MLA significantly enhancing the focus and distribution of UV light. The MLA structure, characterized by its Bézier layout, was precisely fabricated on the panel, achieving exceptional dimensional accuracy, with average vertical and horizontal diameters of 513.8 µm and 515.9 µm, respectively, and minimal error margins of approximately 2.76 % and 3.18 %. Results demonstrate that the UVC-LED system achieves up to 99.94 % disinfection within 10 min and 97.80 % within 60 s in central lift panel areas equipped with the MLA. In contrast, areas lacking the MLA and Bézier layout exhibit significantly lower disinfection rates, underscoring the effectiveness of this novel design. The innovative micro-lens array featuring a Bézier layout enhances UVC light distribution, providing a promising solution for developing disinfection systems that ensure efficient sterilization and reduce bacterial spread in public lifts.

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Publication Details

Journal
Materials & Design
Published
2025-06-02
DOI
https://doi.org/10.1016/j.matdes.2025.114178
Primary Topic
Image Enhancement Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel Bézier micro-lens arrays for UVC LED panels to enhance public lift sterilization

Tengfei Yin, Jianpeng Wang, Wai Sze Yip, Ling Ling Chen et al.
Materials & Design
Image Enhancement Techniques
article

A novel Bézier micro-lens arrays for UVC LED panels to enhance public lift sterilization

Tengfei Yin, Jianpeng Wang, Wai Sze Yip, Ling Ling Chen, Suet To
article en

Abstract

• A Novel UVC-LED light guide panel with Bézier MLAs enhances disinfection. • The Bézier MLA layout was precisely fabricated on the light guide panel. • The UVC-LED system achieves 97.80 % E.coli sterilization in 60 s per test results. Public lifts are essential for vertical transportation in modern buildings but pose significant hygiene challenges due to frequent contact with buttons. This study introduces an innovative disinfection system that combines Ultraviolet-C (UVC)-light emitting diode (LED) technology with a uniquely designed micro-lens array (MLA) featuring a Bézier layout on the light guide panels to effectively sterilize public lift buttons. The system utilizes UVC radiation at 270 nm, with the MLA significantly enhancing the focus and distribution of UV light. The MLA structure, characterized by its Bézier layout, was precisely fabricated on the panel, achieving exceptional dimensional accuracy, with average vertical and horizontal diameters of 513.8 µm and 515.9 µm, respectively, and minimal error margins of approximately 2.76 % and 3.18 %. Results demonstrate that the UVC-LED system achieves up to 99.94 % disinfection within 10 min and 97.80 % within 60 s in central lift panel areas equipped with the MLA. In contrast, areas lacking the MLA and Bézier layout exhibit significantly lower disinfection rates, underscoring the effectiveness of this novel design. The innovative micro-lens array featuring a Bézier layout enhances UVC light distribution, providing a promising solution for developing disinfection systems that ensure efficient sterilization and reduce bacterial spread in public lifts.

Materials & DesignVol. 255
Hong Kong Polytechnic University (HK)
Research Grants Council, University Grants Committee, Innovation and Technology Commission, Hong Kong Polytechnic University, General Research Fund of Shanghai Normal University
Openalex Percentile: Top 90%
Image Enhancement Techniques
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